xgb2sql: Convert Trained 'XGBoost' Model to SQL Query

This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. 'XGBoost' <https://xgboost.readthedocs.io/en/latest/index.html> provides parallel tree boosting (also known as gradient boosting machine, or GBM) algorithms in a highly efficient, flexible and portable way. GBM algorithm is introduced by Friedman (2001) <doi:10.1214/aos/1013203451>, and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.

Package details

AuthorChengjun Hou [aut, cre], Abhishek Bishoyi [aut]
MaintainerChengjun Hou <[email protected]>
LicenseMIT + file LICENSE
Version0.1.2
URL https://github.com/chengjunhou/xgb2sql
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("xgb2sql")

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xgb2sql documentation built on May 2, 2019, 1:09 p.m.